International Research Journal of Commerce , Arts and Science

 ( Online- ISSN 2319 - 9202 )     New DOI : 10.32804/CASIRJ



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ACCURACY OF BANKRUPTCY PREDICTION MODELS IN INDIAN CONTEXT-A STUDY

    2 Author(s):  MOHMAD MUSHTAQ KHAN, DR. SYED KHAJA SAFIUDDIN

Vol -  9, Issue- 4 ,         Page(s) : 273 - 279  (2018 ) DOI : https://doi.org/10.32804/CASIRJ

Abstract

Bankruptcy affects your income, employment and business, so what if we could know well in advance if a business is going bankrupt? There are many financial models available for prediction of corporate bankruptcy and among these Altman Z-score and Zmijewski are two popular models even today despite being developed decades ago. These models have gained importance because of the increasing bankruptcy filings. The present study aims to know the accuracy of these two models in Indian context by using the financial data of kingfisher airlines, which will be compared with the other airline company i.e. Indigo. We know that Kingfisher airlines does not exist anymore and Indigo is a leading airline company in Indian aviation sector. The study will use the financial data of one bankrupt company (Kingfisher) and one non bankrupt company (Indigo) to know the applicability of these two popular models in Indian context. The study aims at knowing the accuracy of these two models in predicting bankruptcy.

1. Altman, E. I., & Hotchkiss, E. (2006). Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt.
2. Altman, Edward I. "Financial ratios, discriminant analysis and the prediction of corporate bankruptcy." The journal of finance 23.4 (1968): 589-609.
3. Khan M.M. &Safiuddin S.K. (2016). Predicting Insolvency of Select Companies in Aviation Industry Using Altman Z Score Model. International Research Journal of Commerce, Business & Social Science, Vol. V, Issue 11(V) March, 2016. ISSN 2277-9310
4. Timmermans, M. (2014). U.S. corporate bankruptcy predicting models: how accurate are the bankruptcy predicting models of Altman(1968), Ohlson(1980) and Zmijewski(1984) after recalibration, when they are applied to U.S. listed firms in the period after the BACPA change in bankruptcy law? (Unpublished doctoral dissertation). Thesis / Dissertation ETD.
5. Pradhan, R. (2014). Z Score Estimation for Indian Banking Sector. International Journal of Trade, Economics and Finance, 5(6), 516-520. doi:10.7763/ijtef.2014.v5.425
6. Vasantha, S., Dhanraj, V., &Thiayalnayaki. (2013). Prediction of business bankruptcy for selected Indian airlinecompanies using Altman‘s Model. International Journal of Research in Business Management, 1, 19-26.
7. Sheela, C.S. and Karthikeyan. K (2012). Financial Performance of Pharmaceutical Industry in India using DuPont Analysis. European Journal of Business and Management.
8. Boritz, J. E., Kennedy, D. B., & Sun, J. Y. (2007). Predicting Business Failures in Canada*. Accounting Perspectives, 6(2), 141-165. doi:10.1506/g8t2-k05v-1850-52u4
9. Chatterjee, Sris & Dhillon, Upinder & Ramirez, Gabriel. (1996). Resolution of Financial Distress : Debt Restructurings via Chapter 11, Prepackaged Bankruptcies, and Workouts. Financial Management. 25. 10.2307/3665899.

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